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COLT
2010
Springer
15 years 4 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
IPPS
2010
IEEE
15 years 4 months ago
Optimizing RAID for long term data archives
We present new methods to extend data reliability of disks in RAID systems for applications like long term data archival. The proposed solutions extend existing algorithms to detec...
Henning Klein, Jörg Keller
MOBILIGHT
2010
15 years 4 months ago
Virtual Distributed Simulation Platform for the Study and Optimization of Future Beyond 3G Heterogeneous Systems
This paper proposes and assesses a new distributed simulation platform for heterogeneous wireless communications. The objective of the ICARUS platform is to investigate cross-layer...
M. Carmen Lucas-Estan, Salva Garrigas, Javier Goz&...
JMLR
2012
13 years 9 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
CVPR
2008
IEEE
16 years 8 months ago
Recognizing human actions using multiple features
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Jingen Liu, Saad Ali, Mubarak Shah